Integrated single-cell and spatial mapping coupled with machine learning unveils core stemness landscapes and regulatory drivers in triple-negative breast cancer.
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| Title: | Integrated single-cell and spatial mapping coupled with machine learning unveils core stemness landscapes and regulatory drivers in triple-negative breast cancer. |
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| Authors: | Huo Z; Heilongjiang University of Chinese Medicine, Harbin, 150040, Heilongjiang, China., Sun W; Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, Heilongjiang, China., Lou C; Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, Heilongjiang, China. drlou999@126.com., Yang T; Department of Rehabilitation II, The First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, 150040, Heilongjiang, China. Yangtiansong2006@163.com. |
| Source: | Discover oncology [Discov Oncol] 2026 Mar 23; Vol. 17 (1). Date of Electronic Publication: 2026 Mar 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 101775142 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-6011 (Electronic) Linking ISSN: 27306011 NLM ISO Abbreviation: Discov Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2730-6011 |
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| DOI: | 10.1007/s12672-026-04824-5 |
